Job Description :
Role: Data Scientist
Duration :3-6+ Months
Location : Stamford CT

Required Skills :
7+ years'' experience in data science
Python, R
Hadoop, Spark and Hive

Job Description
The Sr Data Scientist job is responsible for executing the full-scope of advanced analytic techniques with the objectives of creating causal inferences, predictions, and recommendations for improvements to business processes, and the metrics to monitor those improvements. This position requires a strong command of techniques and algorithms as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present these findings to an audience with varying levels of background in analytics. A career with Charter means you will work alongside exceptional people and be empowered to reach your professional and personal goals.


Discover insights hidden in vast amounts of information in new BI data warehouses, and help Charter make optimal decisions in business operations, effectiveness, and strategic direction. Your primary focus will be in applying data mining techniques, doing statistical analysis, suggest actions and overall executing analysis projects collaboratively and under limited supervision within an agile analytics life-cycle. You will make an impact by using your passion for data and analysis to generate actionable insights that we will use to improve how we serve our clients.

Plan and lead the execution of the analytics life-cycle, leveraging significant experience in leading this type of work in previous roles

Survey varied data sources in relational databases, Hadoop, flat files, and external sources for analytic relevance

Execute the full-scope of advanced analytic techniques

Perform problem formulation, requirements analysis, and planning

Responsible for data surveying, profiling, and pre-processing

Model data management for validation (e.g. holdout, cross-validation)

Champion/challenger algorithms execution and selection

Responsible for interpretation of results – for both causal inferences and predictive effectiveness

Synthesize appropriate recommendations for action and changes

Present findings, suggested actions and changes to a broad audience, and manage follow-ups and execution

Help teach and explain techniques and tools used to a broad set of business-intelligence, data, and analytics professionals with varied backgrounds

Exercise thought leadership and discretion in tailoring the tools, approaches, and data used to meet the needs of the particular problem

Perform other duties as required

Skills/Abilities and Knowledge
Ability to read, write, speak and understand English
Expert-level skills and experience with R (required) and/or Python (desired) (including relevant packages) in support of advanced analytics
Advanced-level skills with relational databases, including SQL and utilizing data stored in complex schemas
Expert-level logical and analytic skills
Broad experience and solid theoretical foundation on the modeling process using a variety of algorithms
Data profiling, distributions, confidence intervals, hypothesis testing
Holdout for testing, cross-validation
Data pre-processing, exploratory data analysis using a variety of techniques
Regression and classification using linear models, GLMs, and tree-based methods
Interpretation of model results, consideration of causality, treatment of multicollinearity
Strong synthesis and presentation skills
Ability to communicate results and recommendations to a wide variety of audiences
Basic understanding of data architecture, data warehouse and data marts
Experience in the telecommunications industry, or two other consumer-based industries
Demonstrated ability and desire to continually expand skill set, and learn from and teach others

Skills/Abilities and Knowledge
Experience with Teradata: SQL, UDFs, interpreting explain plans, basic performance-tuning, and use of database catalog
Operations-research background, in particular focused on large labor operations such as field ops, technical support, and sales
Background with Cable systems and operations
Experience with Hadoop, particularly HIVE and Spark
Knowledge of other relevant tools such as SAS, SPSS, Alteryx, Linux
Knowledge of other relevant techniques such as text analysis and text mining
Familiarity with the open-source ecosystems surrounding R (CRAN), Python (PyPi), and/or Hadoop

Master''s degree in computer science, mathematics, statistics, operations research or other quantitatively-focus field

Related Work Experience Number of Years
Statistical Analysis 10+
Business Analysis 8+
SQL/R/SAS Programming 8+
Database Design or Database Modeling 2+

If you are qualified, available, interested, planning to make a change, or know of a friend who might have the required qualifications and interest, please call me ASAP at Ext 2540., even if we have spoken recently about a different position. If you do respond via e-mail, please include a daytime phone number so I can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you.